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Computer Science and Programming

Computer Science and Programming

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Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_science

Ko'proq ko'rsatish

📈 Telegram kanali Computer Science and Programming analitikasi

Computer Science and Programming (@computer_science_and_programming) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 142 667 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 813-o'rinni va Italiya mintaqasida 86-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 142 667 obunachiga ega bo‘ldi.

15 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -1 289 ga, so‘nggi 24 soatda esa -46 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 6.44% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.85% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 9 197 marta ko‘riladi; birinchi sutkada odatda 2 646 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 17 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent sellerflash, github, developer, pricing, waybienad kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_sc...

Yuqori yangilanish chastotasi (oxirgi ma’lumot 16 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

142 667
Obunachilar
-4624 soatlar
-2077 kunlar
-1 28930 kunlar
Postlar arxiv
deeplearningforcomputervision.pdf51.85 MB

Rajalingappaa Shanmugamani "Deep Learning for Computer Vision" (2018). Highly recommend. #DeepLearning , #Keras , #Tensorflow

30 Free Courses: Neural Networks, Machine Learning, Algorithms, AI

Just another advance of #GAN algorithm family. Pay attention to this video with #BigGAN

Practical Machine Learning with Python (2018).pdf19.39 MB

Book: "Practical Machine Learning with Python" published in 2018 with good content for practical learning by D. Sarkar, R.Bali, T.Sharma

As you know, one of the important event in AI world #NeurIPS2018 (Neural Information Processing Systems) is going in Montreal. Here is you can learn from up-to-date tutorials from scholar of AI world:

Intelligent painting with GAN by directly activating and deactivating sets of neurons in a deep network trained to generate images. Code and Data, Paper, Video and Interactive demo is available.

Artificial Intelligence wiki from skimind ai team. Everything about AI, DL and ML. Great recourse

"Dive into Deep Learning" An interactive deep learning book for students, engineers, and researchers.

Datasets list by categories and description, which we can use for machine learning practices. Article originally written in Japanese language, but I hope in your browser "translate page" extension is turned on and you have no problem. Enjoy with playing with datasets in your research.